Abstract

In order to reduce the amount of abandoned clean energy, the complementary characterization of wind power plants (WPPs), photovoltaic power plants (PVs), hydropower stations (HSs), and thermal power plants (TPPs) combined with energy storage devices (ESDs) is considered, and they are integrated into a multi-energy complementary system (MECS). Firstly, a scenario-generating technique is proposed for uncertainty factors using the Wasserstein method and the improved K-medoids theory. Then, a multi-objective model and solution algorithm are constructed under the objectives of attaining the maximum operation revenue, the minimum abandoned energy cost, and the minimum output fluctuations. Meanwhile, the influence of different ESD operation modes on MECS operation is discussed, specifically, the longest life cycle (LLC) and the optimum economic efficiency (OEE). Thirdly, in order to solve the multi-objective model, a solution algorithm is proposed by using the rough set method to convert the multi-objective model into a single objective model based on the payoff table. Moreover, the complementary features of the MECS are evaluated in terms of the load tracking degree, HS secondary peaking capacity, and units of coal consumption. Finally, the improved IEEE 14-bus system is chosen for the simulation analysis. The results show that (1) the proposed uncertainty simulation method can efficiently generate the most representative scenarios; (2) MECSs can utilize complementary power sources, the OEE mode can better optimize MECS scheduling, and the LLC mode can ensure the ESDs’ life cycles; (3) the scheduling scheme of MECS operation reach the optimal level when the capacity ratio of ESD:WPP–PV iso [0.62, 0.77] in the OEE mode and [1, 1.08] in the LLC mode on a typical summer day, and the ratio is [0.92, 1] in the OEE mode and [1.23, 1.31] in the LLC mode on a typical winter day. Therefore, the proposed model provides effective decision-making support for designing the optimal plan for MECS operation.

Highlights

  • The rapid development of the Chinese economy has resulted in a sharp increase in energy consumption

  • To prove the optimization effect of the energy storage devices (ESDs) on multi-energy complementary system (MECS) operation, the MECS was scheduled without the ESD to comparatively analyze the results of different operation scenarios

  • wind power plants (WPPs), PVs, hydropower stations (HSs), thermal power plants (TPPs), and ESDs were integrated into a MECS

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Summary

Introduction

The rapid development of the Chinese economy has resulted in a sharp increase in energy consumption. Kaabeche et al [19] constructed an optimization configuration model for a WPP–PV hybrid energy system and analyzed its economy and reliability These studies have demonstrated the significance of complementary power sources. Some of the literature has discussed the optimization effect of ESDs on multi-energy complementary system (MECS) operation, and different optimization models have been constructed. Most of the research studied the optimal capacity planning configuration and coordinated control of hybrid energy systems and analyzed the complementarity characteristics of different power sources.

MECS Structure Description
Uncertainty Analysis
Uncertainty Model
Multi-Objective
Objective
CGT e CGT
Constraint Conditions
Multi-Objective Model Solution
Payoff Table
Weight Calculation
Weighted Single Objective
Complementarity Evaluation Indexes
T dis ch dis ch
Basic Data
Weighting Calculation
Scheduling Results
Results Analysis
Conclusions
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