Planning Of Energy Storage Systems Research Articles

Optimal Planning of Storage in Power Systems Integrated With Wind Power Generation

This paper proposes an approach for determining the optimal location and size of an energy storage system (ESS) in a power system network integrated with uncertain wind power generation. The uncertainty of wind power output is represented by a scenario tree model, so that the nonanticipative behavior of operating decisions under system uncertainties can be properly addressed. The proposed formulation is too huge to be solved directly, so a Benders decomposition algorithm is applied to reduce the computational burden. Case studies are conducted to illustrate the influence of ESS on power system operation. It is shown that increasing the capital investment on ESS can reduce the daily operating cost of the power system. A capital/operating cost frontier is presented in this paper to demonstrate the tradeoff between ESS capital investment and daily operating cost, and to show how ESS planning decisions are affected by the budget for investment.

Reliability improvement in radial electrical distribution network by optimal planning of energy storage systems

This paper provides an optimal approach to denote the location and size of ESSs (energy storage systems) with the intention of reliability improvement in radial electrical distribution networks. The proposed optimal ESSs planning is addressed as a minimization problem which aims at minimizing the cost of ENS (energy not supplied) as well as ESSs costs at the same time, subject to safe operation of the network; where, the safe operation is guaranteed through satisfying security constraints such as voltage and line-flows limits. The minimization problem is mathematically formulated as a mixed-integer nonlinear programming and solved by PSO (particle swarm optimization) algorithm. A comprehensive sensitivity analysis is carried out on the results such as ESSs numbers, ESSs cost and reliability parameters. Simulation results demonstrate the viability of the proposed method in the real networks. Results also indicate the positive impact of ESSs on the network reliability. The proposed ESSs planning significantly reduces the ENS of the network and can be employed to deal with low reliability issues in the real networks.

Decision tree aided planning and energy balancing of planned community microgrids

Planned Communities (PCs) present a unique opportunity for deployment of intelligent control of demand-side distributed energy resources (DER) and storage, which may be organized in Microgrids (MGs). MGs require balancing for maintaining safe and resilient operation. This paper discusses the implications of using MG concepts for planning and control of energy systems within PCs. A novel tool is presented, based on decision trees (DTs), with two potential applications: (i) planning of energy storage systems within such MGs and (ii) controlling energy resources for energy balancing within a PC MG. The energy storage planning and energy balancing methodology is validated through sensitivity case studies, demonstrating its effectiveness. A test implementation is presented, utilizing distributed controller hardware to execute the energy balancing algorithm in real-time.

貯蔵設備を含む電源ベストミックスの決定とその特徴

貯蔵設備を含む電源ベストミックスの決定とその特徴

Coordinative planning of energy storage system in optimal generation mix

Coordinative planning of energy storage system in optimal generation mix