Abstract

The main purpose of this paper is to optimize the consumption of renewable energy and minimize the total cost of system operation, and a combined heat and power unit is added to the wind, water, and water combined dispatching model to solve typical daily dispatch problems in different seasons. Initially, a combined wind–solar–water-fired optimal scheduling model containing cogeneration units and renewable energy preferential consumption is constructed, and the model is solved using particle swarm optimization with the genetic algorithm. The simulation analysis of typical electrical load and heat load during summer and winter in a certain area is implemented as an example to verify the feasibility of the model and algorithm. Compared with the traditional vertical integrated electric-heated coordinated dispatch, the proposed method reflects the willingness of the combined heat and power to actively participate in the paid peak regulation of the power grid under economic incentives.

Highlights

  • The large-scale utilization of intermittent wind energy and solar energy has produced many challenges to the stable dispatching and operation of the power system

  • Giving priority to the consumption of renewable energy and the minimum total operating cost of the system is the primary objective, and a cogeneration unit is added to the model considering the practical heating problem

  • In order to solve the optimization of typical days in different seasons, the improved particle swarm optimization algorithm is adopted as well

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Summary

INTRODUCTION

The large-scale utilization of intermittent wind energy and solar energy has produced many challenges to the stable dispatching and operation of the power system. The optimization design methods of heat storage devices in different application scenarios are proposed, which improves the ability to optimize the configuration of the energy system over large time and space, and can effectively solve the problems of renewable energy consumption and peak regulation. Reference proposed a coexistence model of wind power, CHP units, and conventional units, including heat storage devices, CHP units, and electric boilers for coordinated heating of the abandoned wind, and analyzed the effect of abandoned wind. Based on CHP units, the power system and thermal system are combined to improve the capacity of optimal allocation of resources in a broader space-time range considering the actual problem of heating in winter in the north of China.

Objective function
Cost of the conventional thermal power unit
Cost of CHP units
Wind power output constraints
PV output constraints
Hydropower output constraints
System balance constraints
OPTIMAL DISPATCH ALGORITHM OF THE WIND–PHOTOVOLTAIC–HYDROTHERMAL POWER SYSTEM
Algorithm flow
NUMERICAL EXAMPLES AND SIMULATION RESULT ANALYSIS
Findings
CONCLUSION AND FUTURE WORK

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