Economic Operation Of Distribution Network Research Articles

Distribution Network Dynamic Reconfiguration Based on Improved Fuzzy C‐Means Clustering with Time Series Analysis

The rapid growth of distributed energy resources integrated in distribution systems leads to an increasing need of continuously and automatically changing the system topology to realize the economic operation of distribution networks. This paper proposes an optimization model of dynamic reconfiguration for distribution networks based on a new method of time series analysis. Equivalent daily curve considering time‐varying nature of distributed generator and load demands is divided by an improved fuzzy C‐means clustering algorithm, where the indicator of section function is set to find the optimal reconfiguration time intervals. The uncertainty of distributed generator outputs and load demands is described by the interval algorithm. Then the affine Taylor expansion is adopted to solve the interval power flow equations. The reconfiguration optimization model is solved with decimal particle swarm optimization algorithm based on loop search. The optimal dynamic reconfiguration of a modified 70‐bus test system with distributed generators is carried out and the simulation results demonstrate the effectiveness and superiority of the proposed method. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

Factors Affecting the Design and Economic Operation of Distribution Networks and Its Investigation in the 0.4 KV Distribution Network of Ghazni City

The design of power distribution systems should be such that it can technically respond to the increase in electricity demand properly and economically, optimally designed and high network reliability. In order to respond to the increase in electricity demand, load forecasting must be done so that in addition to providing the electricity needed by customers, expansion of power generation centers, expansion of substations, expansion of transformer stations and selection of their appropriate location can be done optimally. In this article, we first examine the definitions and factors that are technically and economically effective in the economic design of energy distribution systems. And in the next stage, we will see whether these above-mentioned effective factors are considered in the 0.4 kV distribution network of Ghazni city or not.

Research and Development of Distribution Automation Terminal Based on IEC61850

Distribution automation system is an important means to improve the reliability and quality of power supply, expand power supply capacity, and realize efficient and economic operation of distribution network. However, the existing problems are: low online rate of distribution terminal, low data utilization rate, low success rate of remote control of distribution automation system, and great difficulty in operation and maintenance. This paper studies and develops a hardware development platform of distribution terminal based on high-speed bus interaction technology of distribution terminal. The software development platform based on IEC61850 information model and modeling technology can improve the level of distribution automation and application effect.

Evaluation Model for Economic Operation of Active Distribution Network Orienting to Energy Internet

As the fossil energy exhausted and the environmental climate worsening, renewable energy became the main force to promote the transformation of the energy structure, This paper establishes the new evaluation index system of the issues and put forward the evaluation model for economic operation of distribution network under the background of energy internet based on the fuzzy comprehensive evaluation methods. Firstly, the new characteristics of energy internet are discussed from the aspect of regulation mechanism, energy hub, grid structure, demand management, social participation and consumptive balance. And the index system is established by the various new demand to the distribution network. Secondly, the index weights are selected by the analytic hierarchy process. Membership degrees and scores of evaluation are calculated by fuzzy comprehensive evaluation methods. Ultimately the evaluation levels were obtained. Finally, the validity and effectiveness of the method proposed were confirmed through theory analysis and application example.

Multidimensional Data Model and Analysis Method of Economic Operation in Distribution Network

In view of the fact that current economic management of distribution network is mostly confined to the study of economic evaluation index and lacks some means to carry out in-depth analysis and excavation of the key influencing factors of distribution network economic operation, this paper presents a multidimensional data analysis distribution network economic operation practical method. By establishing a multidimensional analysis model of economic operation of distribution network, this paper comprehensively analyzes historic economic data of distribution network and various factors from multi-aspects, multi-perspectives and multi-levels to deeply mining the potential of energy-saving and loss reduction of distribution network.

Bilevel economic operation of distribution networks with microgrid integration

Traditionally, the economic operation of a microgrid (MG) is independent with that of a distribution network (DN), and the electricity trade between them is simply based on contract prices or wholesale electricity market prices. In order to coordinate the benefits of DNs and MGs more effectively, a new economic operation model for DNs with MG is proposed in this paper modeled as a bilevel programming problem (BLPP). At the upper level, electric power from the gird and electricity price of MGs are control variables. A DN seeks the least operation cost by optimizing these control variables. At the lower level, control variables are electric power of dispatchable distributed generations (DGs) and the DN. Based on the electricity price got from the upper level and the operation costs of dispatchable DGs, a MG minimizes its hourly operation cost by optimizing the control variables. Furthermore, electricity price constraints are considered in this BLPP model, and a method to dynamically determine the constraints is proposed. They are decided by the load power demand profile in the DN and the price differential between the wholesale electricity market and dispatchable DGs. A comprehensive real-time pricing for residential consumers is also considered in the operation model to study the impact from demand response. The proposed BLPP model is solved by particles swarm optimization based on bilevel iterative algorithm. The demonstration is performed on a modified IEEE 33-node radial distribution system.